This repository contains my solutions to the projects in the Codecademy Data Scientist: Natural Language Processing Career Path course. Specifically, it includes notebooks for the following projects:
- Python Fundamentals for Data Science (Part I) - Frida Kahlo Cumulative Project
- Python Fundamentals for Data Science (Part II) - Python Strings Medical Insurance
- Python Fundamentals for Data Science (Part II) - Coded Correspondence Project
- Python Fundamentals for Data Science (Part II) - Python Dictionaries Medical Insurance Project
- Python Fundamentals for Data Science (Part II) - Reggie's Linear Regression
Each project is completed in a Jupyter notebook and contains a combination of code, markdown, and output.
To run the notebooks in this repository, you will need to have Jupyter installed. You can download and install Jupyter from the official website.
To use this repository, simply clone or download the repository to your local machine. Once downloaded, open the Jupyter notebooks using Jupyter.
These projects were completed as part of the Codecademy Data Scientist: Natural Language Processing Career Path. The solutions provided are my own and may not be the most optimal or efficient solutions. They are provided as a reference and for learning purposes only.